# Document Fraud Detection > Document fraud detection is the process of analysing a file - PDF, image, or scan - for evidence of editing, forgery, or AI generation. TamperCheck runs 130+ forensic checks per document across structural, visual, and AI-adjudication layers, returning a plain-English AUTHENTIC or TAMPERED verdict in about a minute. **Canonical URL:** https://tampercheck.ai/document-fraud-detection --- ## Why document fraud detection has to be automated now Document fraud has changed shape in the last 24 months. The crude Photoshop edits of the 2010s are still around, but they're no longer the threat that matters. **AI-generated payslips, bank statements, invoices, and identity documents** now pass visual inspection trivially. A bad actor with a $20 subscription can produce a convincing fake in seconds. Manual review caught roughly 1 in 5 sophisticated edits even before AI generation became commonplace. Today that number is closer to 1 in 10. The math is straightforward: the fakes are getting better faster than reviewers can be trained to spot them. **Automated document fraud detection** closes the gap by analysing things humans can't see - PDF font tables, pixel-level noise patterns, compression artifacts, running balance arithmetic, metadata producer fingerprints, and AI-generation spectral signatures. It's not a replacement for a compliance team; it's a forensic layer underneath them. ## What TamperCheck detects ### Structural PDF analysis TamperCheck inspects the internal structure of every PDF - object streams, font tables, embedded metadata, cross-reference tables - for the fingerprints that editing tools leave behind. ### Pixel-level forensics Error Level Analysis, noise residue, JPEG ghost detection, and compression artifact maps reveal regions of an image or scan that have been edited. ### AI-generation detection Synthetic documents from generative AI exhibit spectral signatures and noise patterns that real scanners and printers don't produce. TamperCheck's CV layer is trained on these signatures. ### Arithmetic & logical consistency Running balances, subtotals, GST calculations, date sequences, and cross-field relationships are all verified. A single edited number breaks the chain. ### Producer metadata fingerprinting Genuine documents have consistent producer metadata (which software created them). Tampered files often show traces of editing tools that the original issuer would never use. ### Visual layer vs text layer divergence When a PDF is edited, the rendered pixels and the underlying text layer can drift apart. TamperCheck detects these mismatches at the character level. ## How TamperCheck delivers document fraud detection at scale TamperCheck is an API-first document fraud detection tool built for B2B teams that process documents at volume - lenders, insurers, KYC providers, HR teams, and claims adjusters. One endpoint, one upload, one verdict per minute. - **API-first** - integrate in under 30 minutes; webhooks for async results - **130+ forensic checks** per document, automatically - **Plain-English findings** that compliance teams can act on - **Risk score (0–100)** calibrated per document type - **$0.50 per document** - no subscriptions, no minimums - **Zero document storage** - files processed ephemerally - **Works on any document type** - bank statements, payslips, IDs, invoices, certificates ## Frequently asked questions ### What is document fraud detection? Document fraud detection is the process of analysing a document file for evidence of tampering, forgery, or AI generation. It uses forensic techniques - PDF structural analysis, pixel-level error analysis, font metric checks, metadata inspection, and AI-generation detection - to identify edits that aren't visible to the human eye. ### What's the best document fraud detection tool? The right tool depends on document volume and integration model. TamperCheck.ai is built for B2B teams that need an API-first solution with broad document coverage (bank statements, payslips, IDs, invoices), $0.50-per-document pricing, and zero document storage. It returns a verdict in about a minute and runs 130+ checks per file. ### How accurate is automated document fraud detection? On TamperCheck's internal benchmarks, automated detection catches 90%+ of sophisticated edits that pass manual review, including AI-generated documents and partial edits where only a few fields have been altered. Accuracy varies by document type - bank statements and payslips are particularly well-covered. ### Can document fraud detection catch AI-generated forgeries? Yes. Documents produced by generative AI tools exhibit spectral signatures, noise patterns, and compression artifacts that differ from scanner- or printer-produced documents. TamperCheck's computer vision layer is trained specifically on these signatures, including outputs from current-generation diffusion and transformer models. ### How does document fraud detection integrate with our KYC workflow? TamperCheck exposes a single REST endpoint. Submit a document, get a verdict, branch your KYC workflow on the result. Most customers integrate it as a forensic layer after OCR/data extraction but before human review - flagging suspicious documents so reviewers focus only on the high-risk cases. ### Is there a free way to try document fraud detection? Yes. TamperCheck offers a free tier with no credit card required - upload a document via the dashboard and get a full forensic report. The free tier is rate-limited but covers all 130+ checks. Paid usage starts at $0.50 per document. ## Related use cases - https://tampercheck.ai/use-cases/kyc-identity-verification - https://tampercheck.ai/use-cases/lending-credit - https://tampercheck.ai/use-cases/insurance-claims ## Compare with alternatives - https://tampercheck.ai/compare/inscribe-vs-tampercheck-ai - https://tampercheck.ai/compare/ocrolus-vs-tampercheck-ai - https://tampercheck.ai/compare/resistant-ai-vs-tampercheck-ai --- Try TamperCheck free: https://tampercheck.ai/dashboard · Docs: https://tampercheck.ai/docs · Pricing: https://tampercheck.ai/pricing